On the issue of constructing a taxonomy of tasks in teaching data analysis
- DOI
- 10.5922/vestnikpsy-2025-1-11
- Pages
- 123—134
Abstract
The widespread use of artificial intelligence technologies, data analysis, and their positioning as the foundation for the development of the future economy significantly increases the demand for certain specialists. In this context, it is essential to focus on the methodology for teaching data analysis in universities. The aim of this article is to develop the basis of a taxonomy for creating practical data analysis tasks and to test its applicability. The author examines the main taxonomies of educational tasks, arguing that their limited applicability to the field of data analysis is due to its multidisciplinary and multifaceted nature. A horizontal-vertical taxonomy of educational tasks is proposed, based on three core processes: thinking, communication, and activity. The complexity of tasks is suggested as the key criterion for the vertical part of the taxonomy. Using the topic of “linear regression” as an example, typical tasks corresponding to primary and secondary processes, as well as their intersections, are presented. Specific assignments for Master’s students in the “Business Informatics” program within the course “Computer Data Analysis” using the R language are developed and demonstrated. The need for further research in this area is justified, and a number of questions for future work are posed.